00:01
Hi, i'm david and i'm here to have your answer your question.
00:03
Now let me bring up your question here.
00:05
Here we have the five questions about the multiple choice, so let me answer one by one for you.
00:14
Now the first one here we have the value of the mean for the t and the g distribution.
00:20
We know that for the t and the z there are symmetry around the mean.
00:25
And the mean here is equal to the zero, there will be the z and the t will be a little bit flatter.
00:32
But the same mean and it will also equal to the 0 here and therefore the answer it will be the option a and for the question 2 for the interval estimate of mean when a sigma is a sum known so we have the sigma is known and then we should use the z distribution therefore the answer for this question 2 will be the z distribution for the number 3 it is known than the variance of the option equal to the 1 3 and 1936 and the symbol n equals to the 121 has been taken from the population.
01:10
There is 0 .95 probability that the symbol mean will provide a margin of the error.
01:15
Now we know that the formula for the merging of the error e equal to the z star time when the sigma over square root the end and we have the z star for the 95 % confidence equal to 1 .96 and sigma it will be the square root of the variance, 1936.
01:37
Our score into the end will be the 121.
01:40
So if we compute this one, 1936, the 521, taking the square root times in the 1 .96 equal to the 7 .84...